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Lars Rosenbaum
Lars Rosenbaum
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges
D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ...
IEEE Transactions on Intelligent Transportation Systems 22 (3), 1341-1360, 2020
10782020
Preanalytical aspects and sample quality assessment in metabolomics studies of human blood
P Yin, A Peter, H Franken, X Zhao, SS Neukamm, L Rosenbaum, M Lucio, ...
Clinical chemistry 59 (5), 833-845, 2013
3052013
Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection
D Feng, L Rosenbaum, K Dietmayer
2018 21st international conference on intelligent transportation systems …, 2018
2832018
Circulating lysophosphatidylcholines are markers of a metabolically benign nonalcoholic fatty liver
R Lehmann, H Franken, S Dammeier, L Rosenbaum, K Kantartzis, ...
Diabetes care 36 (8), 2331-2338, 2013
1252013
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints
G Hinselmann, L Rosenbaum, A Jahn, N Fechner, A Zell
Journal of cheminformatics 3, 1-14, 2011
1012011
Deep active learning for efficient training of a lidar 3d object detector
D Feng, X Wei, L Rosenbaum, A Maki, K Dietmayer
2019 IEEE Intelligent Vehicles Symposium (IV), 667-674, 2019
892019
Leveraging heteroscedastic aleatoric uncertainties for robust real-time lidar 3d object detection
D Feng, L Rosenbaum, F Timm, K Dietmayer
2019 IEEE Intelligent Vehicles Symposium (IV), 1280-1287, 2019
782019
Interpreting linear support vector machine models with heat map molecule coloring
L Rosenbaum, G Hinselmann, A Jahn, A Zell
Journal of Cheminformatics 3, 1-12, 2011
732011
Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software
J Eichner, L Rosenbaum, C Wrzodek, HU Häring, A Zell, R Lehmann
Journal of Chromatography B 966, 77-82, 2014
552014
Inferring multi-target QSAR models with taxonomy-based multi-task learning
L Rosenbaum, A Dörr, MR Bauer, FM Boeckler, A Zell
Journal of cheminformatics 5, 1-20, 2013
492013
Can we trust you? on calibration of a probabilistic object detector for autonomous driving
D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer
arXiv preprint arXiv:1909.12358, 2019
442019
Large-scale learning of structure− activity relationships using a linear support vector machine and problem-specific metrics
G Hinselmann, L Rosenbaum, A Jahn, N Fechner, C Ostermann, A Zell
Journal of chemical information and modeling 51 (2), 203-213, 2011
362011
Inferring spatial uncertainty in object detection
Z Wang, D Feng, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
322020
Leveraging uncertainties for deep multi-modal object detection in autonomous driving
D Feng, Y Cao, L Rosenbaum, F Timm, K Dietmayer
2020 IEEE Intelligent Vehicles Symposium (IV), 877-884, 2020
302020
Deepfusion: A robust and modular 3d object detector for lidars, cameras and radars
F Drews, D Feng, F Faion, L Rosenbaum, M Ulrich, C Gläser
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
212022
Labels are not perfect: Inferring spatial uncertainty in object detection
D Feng, Z Wang, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ...
IEEE Transactions on Intelligent Transportation Systems 23 (8), 9981-9994, 2021
202021
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets
D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Gläser, F Timm, ...
Methods, and Challenges, 2019
182019
4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening
A Jahn, L Rosenbaum, G Hinselmann, A Zell
Journal of cheminformatics 3, 1-17, 2011
132011
Learning multimodal fixed-point weights using gradient descent
L Enderich, F Timm, L Rosenbaum, W Burgard
arXiv preprint arXiv:1907.07220, 2019
92019
Labels are not perfect: Improving probabilistic object detection via label uncertainty
D Feng, L Rosenbaum, F Timm, K Dietmayer
arXiv preprint arXiv:2008.04168, 2020
72020
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